dropping columns in sequence/range via dplyr-CodePudding

I have a dataset that has "131" columns and I am trying to drop columns that are not needed for the analysis. Usually I drop the columns by writing the column names one by one. However, I am looking for a way to drop the columns in sequence such that I don't have to write each column's name.

In the data below, let's I am interested in dropping columns a to d. How can I do this using dplyr?

Dummy Data

a = c("a", "b", "c")
b = c("1", "2", "3")
c = c("a1", "b2", "c3")
d = c("F1", "F2", "F3")
e = c("A", "B", "C")
f = c("11", "22", "33")
g = c("A11", "B22", "C33")

Code

    library(tidyverse)
    df = data.frame(a, b, c, d, e, f, g)
    
# drop columns a to d
    df = df %>% dplyr::.....

CodePudding user response：

On my phone so can’t format properly (apologies), but it seems like this is what you want to do - do not select a:d

library(dplyr)
df %>% 
  select(-c(a:d))

  e  f   g
1 A 11 A11
2 B 22 B22
3 C 33 C33

CodePudding user response：

Alternative using ! for taking the complement of a set of variables.:

library(dyplr)

df %>% 
  select(!a:d)

  e  f   g
1 A 11 A11
2 B 22 B22
3 C 33 C33